ggstatsplot
tidyr
| ggstatsplot | tidyr | |
|---|---|---|
| 1 | 2 | |
| 1,922 | 1,340 | |
| - | 0.3% | |
| 7.3 | 6.5 | |
| 9 days ago | 8 days ago | |
| R | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ggstatsplot
-
Better plots for Statistics display - ggstatsplot
The link to the github repo is ggstatsplot.
tidyr
-
Frustration: One Year with R
This was fun to play around with. I made some very minor changes and posted at https://gist.github.com/hadley/d54895557fbb0fe0402d2277b9011....
It revealed to me that there's a buglet in `forcats::last()` (https://github.com/tidyverse/forcats/issues/303) and made me wonder if `pivot_longer()` should be able to rename the columns as you pivot them (https://github.com/tidyverse/tidyr/issues/1338)
-
What are your thoughts on data.table vs tidyverse vs tidy syntax with data.table backends (dtplyr, tidytable) in R?
I originally wrote tidytable because dtplyr was missing a lot of functionality my coworkers and I needed, and at the time dtplyr looked like a "forgotten package" (lots of open issues/bugs, very infrequent updates). Hadley Wickham also mentioned at one point [he had no plans for adding tidyr functions)[https://github.com/tidyverse/tidyr/issues/1015#issuecomment-682977139]. He changed his mind on that one - tidyr functions are the ones that I'm in the process of contributing to dtplyr now.
What are some alternatives?
bpmn-visualization-R - A R package for visualizing process execution data on BPMN diagrams
tidytable - Tidy interface to 'data.table'
votemapswitzerland - A Swiss version of the famous visualization «Land doesn't vote, people do.»
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
uefa-ec - Visualizing bilateral links between Euro squads and players clubs
ggplot2-book - ggplot2: elegant graphics for data analysis
design - Tidyverse design principles
Frustration-One-Year-With-R - An extremely long review of R.
tyecon - Assembling functions and results with ease
ggplot2 - An implementation of the Grammar of Graphics in R
easystats - :milky_way: The R easystats-project
wesanderson - A Wes Anderson color palette for R